Recherche Images Maps Play YouTube Actualités Gmail Drive Plus »
Recherche avancée dans les brevets | Historique Web | Connexion

Brevets

Numéro de publicationUS6985515 B2
Type de publicationOctroi
Numéro de demande10/923,950
Date de publication10 janv. 2006
Date de dépôt23 août 2004
Date de priorité
10 sept. 1999
Autre référence de publication
Inventeurs
Cessionnaire d'origine
Classification aux États-Unis
Classification internationale
Classification coopérative
Classification européenne
H04B 7/06C3
H04J 13/00A
H04B 1/7097
H04B 1/712
H04B 7/06C
H04B 7/06C1
H04B 7/08C4J2
H04B 7/08C4J3
H04B 7/06C1F
Références
Liens externes
Interference cancellation in a spread spectrum communication system
US 6985515 B2
Résumé

A code division multiple access communication system transmits a pilot and traffic signal over a shared spectrum. The pilot and traffic signal have an associated code and are received over the shared spectrum. The received signals are sampled and the samples are delayed to produce a window. A weighted value for each despread pilot code window sample is determined using an adaptive algorithm. Each window sample is despread with a traffic code. Each despread traffic code window sample is weighted according to a weight corresponding to its respective pilot code sample.

Dessins(23)
Previous page
Next page
Revendications

1. A method for receiving a traffic signal in a code division multiple access communication system, the system transmitting a traffic signal over a shared spectrum, traffic signal having an associated code, the method comprising:

receiving signals over the shared spectrum;

sampling the received signals to produce samples;

delaying the samples to produce a window, the window having evenly time spaced samples;

despreading the samples and determining a weight for each despread window sample using an adaptive algorithm, the adaptive algorithm providing a determination of an optimum weight for each of a plurality of despread components;

weighting the received signals using the determined weights; and

despreading the weighted received signals using a traffic code.

2. The method of claim 1 comprising the despreading the samples including using the window sample and a delayed version of the window sample obtained by said delaying the samples.

3. The method of claim 1 comprising:

the system transmitting a reference signal and the traffic signal over a shared spectrum, the reference signal having an associated reference code; and

despreading each window sample with the reference code so that the determining of the weight for each window provides an optimum weight for each of a plurality of despread components with the reference signal.

4. The method of claim 3 wherein the reference signal includes a pilot signal and the reference code includes a pilot code.

5. The method of claim 3 wherein the adaptive algorithm comprises comparing a combination of the despread reference code window samples with an ideal value to produce an error signal and using the error signal to determine the weight for each despread reference code window sample.

6. The method of claim 1 comprising:

the system transmitting a pilot signal and the traffic signal over a shared spectrum, the pilot signal having an associated pilot code; and

despreading each window sample with the pilot code so that the determining of the weight for each window provides an optimum weight for each of a plurality of despread components with the pilot signal, wherein the adaptive algorithm comprises comparing a combination of the despread pilot code window samples with an ideal value to produce an error signal and using the error signal to determine the weight for each despread pilot code window sample.

7. The method of claim 6 wherein the ideal value is 1=j.

8. The method of claim 1 wherein the adaptive algorithm is a minimum mean square error algorithm.

9. The method of claim 1 wherein the adaptive algorithm is a least mean square error algorithm.

10. The method of claim 1 comprising the evenly spaced samples evenly spaced at half chip intervals.

11. A user equipment for use in code division multiple access communication system, the system having a base station transmitting traffic signal over a shared spectrum, the traffic signal having an associated code, the user equipment comprising:

means for receiving signals over the shared spectrum;

means for sampling the received signals to produce samples;

means for delaying the samples to produce a window, the window having evenly time spaced samples;

means for despreading the samples;

means for determining a weight for each despread window sample using an adaptive algorithm, the adaptive algorithm providing a determination of an optimum weight for each of a plurality of despread components;

means for weighting the received signals using the determined weights; and

means for despreading the weighted received signals using a traffic code.

12. The user equipment of claim 11 comprising the despreading the samples including using the window sample and a delayed version of the window sample obtained by said delaying the samples.

13. The user equipment of claim 11 wherein:

the base station transmits a reference and traffic signal over the shared spectrum, the reference and traffic signal having an associated reference code, the despread window including the reference code; and

the means for determining the weight of each window sample provides an optimum weight for each of a plurality of despread components with the reference signal.

14. The user equipment of claim 13 wherein the reference signal includes a pilot signal and the reference code includes a pilot code.

15. The user equipment of claim 13 wherein the adaptive algorithm comprises comparing a combination of the despread reference code window samples with an ideal value to produce an error signal and using the error signal to determine the weight for each despread reference code window sample.

16. The user equipment of claim 11 wherein:

the base station transmits a pilot and traffic signal over the shared spectrum, the pilot and traffic signal having an associated pilot code, the despread window including the pilot code; and

the means for determining the weight of each window sample provides an optimum weight for each of a plurality of despread components with the pilot signal, wherein the adaptive algorithm comprises comparing a combination of the despread pilot code window samples with an ideal value to produce an error signal and using the error signal to determine the weight for each despread pilot code window sample.

17. The user equipment of claim 16 wherein the ideal value is 1+j.

18. The user equipment of claim 11 wherein the adaptive algorithm is a minimum mean square error algorithm.

19. The user equipment of claim 11 wherein the adaptive algorithm is a least mean square error algorithm.

20. The user equipment of claim 11 wherein the evenly spaced samples are evenly spaced at half chip intervals.

Description
CROSS REFERENCE TO RELATED APPLICATION(S)

This application is a continuation of U.S. patent application Ser. No. 10/423,230, filed Apr. 25, 2003 now U.S. Pat. No. 6,782,040, which is a continuation of Ser. No. 09/892,369 filed Jun. 27, 2001, now U.S. Pat. No. 6,574,271 issued Jun. 3, 2003, which is a continuation of Ser. No. 09/659,858, filed on Sep. 11, 2000, now a U.S. Pat. No. 6,278,726, Issued on Aug. 21, 2001, which is a continuation-in-part of application Ser. No. 09/602,963 filed Jun. 23, 2000, now U.S. Pat. No. 6,373,877 Issued Apr. 16, 2002, which is a continuation of application Ser. No. 09/394,452 filed Sep. 10, 1999, now U.S. Pat. No. 6,115,406 issued Sep. 5, 2000, which are incorporated by reference as if fully set forth.

FIELD OF INVENTION

The present invention relates generally to signal transmission and reception in a wireless code division multiple access (CDMA) communication system. More specifically, the invention relates to reception of signals to reduce interference in a wireless CDMA communication system.

BACKGROUND

A prior art CDMA communication system is shown in FIG. 1. The communication system has a plurality of base stations 2032. Each base station 20 communicates using spread spectrum CDMA with user equipment (UEs) 3438 within its operating area. Communications from the base station 20 to each UE 3438 are referred to as downlink communications and communications from each UE 3438 to the base station 20 are referred to as uplink communications.

Shown in FIG. 2 is a simplified CDMA transmitter and receiver. A data signal having a given bandwidth is mixed by a mixer 40 with a pseudo random chip code sequence producing a digital spread spectrum signal for transmission by an antenna 42. Upon reception at an antenna 44, the data is reproduced after correlation at a mixer 46 with the same pseudo random chip code sequence used to transmit the data. By using different pseudo random chip code sequences, many data signals use the same channel bandwidth. In particular, a base station 20 will communicate signals to multiple UEs 3438 over the same bandwidth.

For timing synchronization with a receiver, an unmodulated pilot signal is used. The pilot signal allows respective receivers to synchronize with a given transmitter allowing despreading of a data signal at the receiver. In a typical CDMA system, each base station 20 sends a unique pilot signal received by all UEs 3438 within communicating range to synchronize forward link transmissions. Conversely, in some CDMA systems, for example in the B-CDMA™ air interface, each UE 3438 transmits a unique assigned pilot signal to synchronize reverse link transmissions.

When a UE 3436 or a base station 2032 is receiving a specific signal, all the other signals within the same bandwidth are noise-like in relation to the specific signal. Increasing the power level of one signal degrades all other signals within the same bandwidth. However, reducing the power level too far results in an undesirable received signal quality. One indicator used to measure the received signal quality is the signal to noise ratio (SNR). At the receiver, the magnitude of the desired received signal is compared to the magnitude of the received noise. The data within a transmitted signal received with a high SNR is readily recovered at the receiver. A low SNR leads to loss of data.

To maintain a desired signal to noise ratio at the minimum transmission power level, most CDMA systems utilize some form of adaptive power control. By minimizing the transmission power, the noise between signals within the same bandwidth is reduced. Accordingly, the maximum number of signals received at the desired signal to noise ratio within the same bandwidth is increased.

Although adaptive power control reduces interference between signals in the same bandwidth, interference still exists limiting the capacity of the system. One technique for increasing the number of signals using the same radio frequency (RF) spectrum is to use sectorization. In sectorization, a base station uses directional antennas to divide the base station's operating area into a number of sectors. As a result, interference between signals in differing sectors is reduced. However, signals within the same bandwidth within the same sector interfere with one another. Additionally, sectorized base stations commonly assign different frequencies to adjoining sectors decreasing the spectral efficiency for a given frequency bandwidth. Accordingly, there exists a need for a system which further improves the signal quality of received signals without increasing transmitter power levels.

SUMMARY

A code division multiple access communication system transmits a pilot and traffic signal over a shared spectrum. The pilot and traffic signal have an associated code and are received over the shared spectrum. The received signals are sampled and the samples are delayed to produce a window. A weighted value for each despread pilot code window sample is determined using an adaptive algorithm. Each window sample is despread with a traffic code. Each despread traffic code window sample is weighted according to a weight corresponding to its respective pilot code sample.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a prior art wireless spread spectrum CDMA communication system.

FIG. 2 is a prior art spread spectrum CDMA transmitter and receiver.

FIG. 3 is the transmitter of the invention.

FIG. 4 is the transmitter of the invention transmitting multiple data signals.

FIG. 5 is the pilot signal receiving circuit of the invention.

FIG. 6 is the data signal receiving circuit of the invention.

FIG. 7 is an embodiment of the pilot signal receiving circuit.

FIG. 8 is a least mean squared weighting circuit.

FIG. 9 is the data signal receiving circuit used with the pilot signal receiving circuit of FIG. 7.

FIG. 10 is an embodiment of the pilot signal receiving circuit where the output of each RAKE is weighted.

FIG. 11 is the data signal receiving circuit used with the pilot signal receiving circuit of FIG. 10.

FIG. 12 is an embodiment of the pilot signal receiving circuit where the antennas of the transmitting array are closely spaced.

FIG. 13 is the data signal receiving circuit used with the pilot signal receiving circuit of FIG. 12.

FIG. 14 is an illustration of beam steering in a CDMA communication system.

FIG. 15 is a beam steering transmitter.

FIG. 16 is a beam steering transmitter transmitting multiple data signals.

FIG. 17 is the data receiving circuit used with the transmitter of FIG. 14.

FIG. 18 is a pilot signal receiving circuit used when uplink and downlink signals use the same frequency.

FIG. 19 is a transmitting circuit used with the pilot signal receiving circuit of FIG. 18.

FIG. 20 is a data signal receiving circuit used with the pilot signal receiving circuit of FIG. 18.

FIG. 21 is a simplified receiver for reducing interference.

FIG. 22 is an illustration of a vector correlator/adaptive algorithm block using a least mean square error algorithm.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENT(S)

The preferred embodiments will be described with reference to the drawing figures where like numerals represent like elements throughout. FIG. 3 is a transmitter of the invention. The transmitter has an array of antennas 4852, preferably 3 or 4 antennas. For use in distinguishing each antenna 4852, a different signal is associated with each antenna 5660. The preferred signal to associate with each antenna is a pilot signal as shown in FIG. 3. Each spread pilot signal is generated by a pilot signal generator 5660 using a different pseudo random chip code sequence and is combined by combiners 6266 with the respective spread data signal. Each spread data signal is generated using data signal generator 54 by mixing at mixers 378382 the generated data signal with a different pseudo random chip code sequence per antenna 4852, D1–DN. The combined signals are modulated to a desired carrier frequency and radiated through the antennas 4852 of the array.

By using an antenna array, the transmitter utilizes spacial diversity. If spaced far enough apart, the signals radiated by each antenna 4852 will experience different multipath distortion while traveling to a given receiver. Since each signal sent by an antenna 4852 will follow multiple paths to a given receiver, each received signal will have many multipath components. These components create a virtual communication channel between each antenna 4852 of the transmitter and the receiver. Effectively, when signals transmitted by one antenna 4852 over a virtual channel to a given receiver are fading, signals from the other antennas 4852 are used to maintain a high received SNR. This effect is achieved by the adaptive combining of the transmitted signals at the receiver.

FIG. 4 shows the transmitter as used in a base station 20 to send multiple data signals. Each spread data signal is generated by mixing at mixers 360376 a corresponding data signal from generators 7478 with differing pseudo random chip code sequences D11–DNM. Accordingly, each data signal is spread using a different pseudo random chip code sequence per antenna 4852, totaling N×M code sequences. N is the number of antennas and M is the number of data signals. Subsequently, each spread data signal is combined with the spread pilot signal associated with the antenna 4852. The combined signals are modulated and radiated by the antennas 4852 of the array.

The pilot signal receiving circuit is shown in FIG. 5. Each of the transmitted pilot signals is received by the antenna 80. For each pilot signal, a despreading device, such as a RAKE 8286 as shown in the FIG. 5 or a vector correlator, is used to despread each pilot signal using a replica of the corresponding pilot signal's pseudo random chip code sequence. The despreading device also compensates for multipath in the communication channel. Each of the recovered pilot signals is weighted by a weighting device 8892. Weight refers to both magnitude and phase of the signal. Although the weighting is shown as being coupled to a RAKE, the weighting device preferably also weights each finger of the RAKE. After weighting, all of the weighted recovered pilot signals are combined in a combiner 94. Using an error signal generator 98, an estimate of the pilot signal provided by the weighted combination is used to create an error signal. Based on the error signal, the weights of each weighting device 8892 are adjusted to minimize the error signal using an adaptive algorithm, such as least mean squared (LMS) or recursive least squares (RLS). As a result, the signal quality of the combined signal is maximized.

FIG. 6 depicts a data signal receiving circuit using the weights determined by the pilot signal recovery circuit. The transmitted data signal is recovered by the antenna 80. For each antenna 4852 of the transmitting array, the weights from a corresponding despreading device, shown as a RAKE 8286, are used to filter the data signal using a replica of the data signal's spreading code used for the corresponding transmitting antenna. Using the determined weights for each antenna's pilot signal, each weighting device 106110 weights the RAKE's despread signal with the weight associated with the corresponding pilot. For instance, the weighting device 88 corresponds to the transmitting antenna 48 for pilot signal 1. The weight determined by the pilot RAKE 82 for pilot signal 1 is also applied at the weighting device 106 of FIG. 6. Additionally, if the weights of the RAKE's fingers were adjusted for the corresponding pilots signal's RAKE 8286, the same weights will be applied to the fingers of the data signal's RAKE 100104. After weighting, the weighted signals are combined by the combiner 112 to recover the original data signal.

By using the same weights for the data signal as used with each antenna's pilot signal, each RAKE 8286 compensates for the channel distortion experienced by each antenna's signals. As a result, the data signal receiving circuit optimizes the data signals reception over each virtual channel. By optimally combining each virtual channel's optimized signal, the received data signal's signal quality is increased.

FIG. 7 shows an embodiment of the pilot signal recovery circuit. Each of the transmitted pilots are recovered by the receiver's antenna 80. To despread each of the pilots, each RAKE 8286 utilizes a replica of the corresponding pilot's pseudo random chip code sequence, P1–PN. Delayed versions of each pilot signal are produced by delay devices 114124. Each delayed version is mixed by a mixer 126142 with the received signal. The mixed signals pass through sum and dump circuits 424440 and are weighted using mixers 144160 by an amount determined by the weight adjustment device 170. The weighted multipath components for each pilot are combined by a combiner 162164. Each pilot's combined output is combined by a combiner 94. Since a pilot signal has no data, the combined pilot signal should have a value of 1+j0. The combined pilot signal is compared to the ideal value, 1+j0, at a subtractor 168. Based on the deviation of the combined pilot signal from the ideal, the weight of the weighting devices 144160 are adjusted using an adaptive algorithm by the weight adjustment device 170.

ALMS algorithm used for generating a weight is shown in FIG. 8. The output of the subtractor 168 is multiplied using a mixer 172 with the corresponding despread delayed version of the pilot. The multiplied result is amplified by an amplifier 174 and integrated by an integrator 176. The integrated result is used to weight, W1M, the RAKE finger.

The data receiving circuit used with the embodiment of FIG. 7 is show for a base station receiver in FIG. 9. The received signal is sent to a set of RAKEs 100104 respectively associated with each antenna 4852 of the array. Each RAKE 100104, produces delayed versions of the received signal using delay devices 178188. The delayed versions are weighted using mixers 190206 based on the weights determined for the corresponding antenna's pilot signal. The weighted data signals for a given RAKE 100104 are combined by a combiner 208212. One combiner 208212 is associated with each of the N transmitting antennas 4852. Each combined signal is despread M times by mixing at a mixer 214230 the combined signal with a replica of the spreading codes used for producing the M spread data signals at the transmitter, D11–DNM. Each despread data signal passes through a sum and dump circuit 232248. For each data signal, the results of the corresponding sum and dump circuits are combined by a combiner 250254 to recover each data signal.

Another pilot signal receiving circuit is shown in FIG. 10. The despreading circuits 8286 of this receiving circuit are the same as FIG. 7. The output of each RAKE 8286 is weighted using a mixer 256260 prior to combining the despread pilot signals. After combining, the combined pilot signal is compared to the ideal value and the result of the comparison is used to adjust the weight of each RAKE's output using an adaptive algorithm. To adjust the weights within each RAKE 8286, the output of each RAKE 8286 is compared to the ideal value using a subtractor 262266. Based on the result of the comparison, the weight of each weighting device 144160 is determined by the weight adjustment devices 268272.

The data signal receiving circuit used with the embodiment of FIG. 10 is shown in FIG. 11. This circuit is similar to the data signal receiving circuit of FIG. 9 with the addition of mixers 274290 for weighting the output of each sum and dump circuit 232248. The output of each sum and dump circuit 232248 is weighted by the same amount as the corresponding pilot's RAKE 8286 was weighted. Alternatively, the output of each RAKE's combiner 208212 may be weighted prior to mixing by the mixers 214230 by the amount of the corresponding pilot's RAKE 8286 in lieu of weighting after mixing.

If the spacing of the antennas 4852 in the transmitting array is small, each antenna's signals will experience a similar multipath environment. In such cases, the pilot receiving circuit of FIG. 12 may be utilized. The weights for a selected one of the pilot signals are determined in the same manner as in FIG. 10. However, since each pilot travels through the same virtual channel, to simplify the circuit, the same weights are used for despreading the other pilot signals. Delay devices 292294 produce delayed versions of the received signal. Each delayed version is weighted by a mixer 296300 by the same weight as the corresponding delayed version of the selected pilot signal was weighted. The outputs of the weighting devices are combined by a combiner 302. The combined signal is despread using replicas of the pilot signals' pseudo random chip code sequences, P2–Pn, by the mixers 304306. The output of each pilot's mixer 304306 is passed through a sum and dump circuit 308310. In the same manner as FIG. 10, each despread pilot is weighted and combined.

The data signal recovery circuit used with the embodiment of FIG. 12 is shown in FIG. 13. Delay devices 178180 produce delayed versions of the received signal. Each delayed version is weighted using a mixer 190194 by the same weight as used by the pilot signals in FIG. 12. The outputs of the mixers are combined by a combiner 208. The output of the combiner 208 is inputted to each data signal despreader of FIG. 13.

The invention also provides a technique for adaptive beam steering as illustrated in FIG. 14. Each signal sent by the antenna array will constructively and destructively interfere in a pattern based on the weights provided each antenna 4852 of the array. As a result, by selecting the appropriate weights, the beam 312316 of the antenna array is directed in a desired direction.

FIG. 15 shows the beam steering transmitting circuit. The circuit is similar to the circuit of FIG. 3 with the addition of weighting devices 318322. A target receiver will receive the pilot signals transmitted by the array. Using the pilot signal receiving circuit of FIG. 5, the target receiver determines the weights for adjusting the output of each pilot's RAKE. These weights are also sent to the transmitter, such as by using a signaling channel. These weights are applied to the spread data signal as shown in FIG. 15. For each antenna, the spread data signal is given a weight by the weighting devices 318322 corresponding to the weight used for adjusting the antenna's pilot signal at the target receiver providing spatial gain. As a result, the radiated data signal will be focused towards the target receiver. FIG. 16 shows the beam steering transmitter as used in a base station sending multiple data signals to differing target receivers. The weights received by the target receiver are applied to the corresponding data signals by weighting devices 324340.

FIG. 17 depicts the data signal receiving circuit for the beam steering transmitter of FIGS. 15 and 16. Since the transmitted signal has already been weighted, the data signal receiving circuit does not require the weighting devices 106110 of FIG. 6.

The advantage of the invention's beam steering are two-fold. The transmitted data signal is focused toward the target receiver improving the signal quality of the received signal. Conversely, the signal is focused away from other receivers reducing interference to their signals. Due to both of these factors, the capacity of a system using the invention's beam steering is increased. Additionally, due to the adaptive algorithm used by the pilot signal receiving circuitry, the weights are dynamically adjusted. By adjusting the weights, a data signal's beam will dynamically respond to a moving receiver or transmitter as well as to changes in the multipath environment.

In a system using the same frequency for downlink and uplink signals, such as time division duplex (TDD), an alternate embodiment is used. Due to reciprocity, downlink signals experience the same multipath environment as uplink signals send over the same frequency. To take advantage of reciprocity, the weights determined by the base station's receiver are applied to the base station's transmitter. In such a system, the base station's receiving circuit of FIG. 18 is co-located, such as within a base station, with the transmitting circuit of FIG. 19.

In the receiving circuit of FIG. 18, each antenna 4852 receives a respective pilot signal sent by the UE. Each pilot is filtered by a RAKE 406410 and weighted by a weighting device 412416. The weighted and filtered pilot signals are combined by a combiner 418. Using the error signal generator 420 and the weight adjustment device 422, the weights associated with the weighting devices 412416 are adjusted using an adaptive algorithm.

The transmitting circuit of FIG. 19 has a data signal generator 342 to generate a data signal. The data signal is spread using mixer 384. The spread data signal is weighted by weighting devices 344348 as were determined by the receiving circuit of FIG. 19 for each virtual channel.

The circuit of FIG. 20 is used as a data signal receiving circuit at the base station. The transmitted data signal is received by the multiple antennas 4852. A data RAKE 392396 is coupled to each antenna 4852 to filter the data signal. The filtered data signals are weighted by weighting devices 398402 by the weights determined for the corresponding antenna's received pilot and are combined at combiner 404 to recover the data signal. Since the transmitter circuit of FIG. 19 transmits the data signal with the optimum weights, the recovered data signal at the UE will have a higher signal quality than provided by the prior art.

An adaptive algorithm can also be used to reduce interference in received signals for a spread spectrum communication system. A transmitter in the communication system, which can be located in either a base station 20 to 32 or UE 34 to 36, transmits a spread pilot signal and a traffic signal over the same frequency spectrum. The pilot signal is spread using a pilot code, P, and the traffic signal is spread using a traffic code, C.

The simplified receiver 500 of FIG. 21 receives both the pilot and traffic signals using an antenna 502. The received signals are demodulated to a baseband signal by a demodulator 518. The baseband signal is converted into digital samples, such as by two analog to digital converters (ADC) 512, 514. Each ADC 512, 514 typically samples at the chip rate. To obtain a half-chip resolution, one ADC 514 is delayed with respect to the other ADC 512 by a one-half chip delay. The samples are processed by a filtering device, such two vector correlators 504, 508 as shown in FIG. 21 or a RAKE, to process the pilot signal. The vector correlators 504, 508, are used to despread various multipath components of the received pilot signal using the pilot code, P. By using two vector correlators 504, 508 as in FIG. 21, each half-chip component is despread, such as for a 10 chip window to despread 21 components. Each despread component is sent to an adaptive algorithm block 506 to determine an optimum weight for each despread component to minimize interference in the received pilot signal. The adaptive algorithm block 506 may use a minimum mean square error (MMSE) algorithm such as a least mean square error algorithm.

One combination vector correlator/adaptive algorithm block using a LMS algorithm and half-chip resolution is shown in FIG. 22. The pilot code is delayed by a group of delay devices 520 1 to 520 N and 522 1 to 522 N. Each of the ADC samples is despread such as by mixing it with timed versions of the pilot code, P, by mixers 524 1 to 524 N and 526 1 to 526 N. The mixed signals are processed by sum and dump circuits 528 1 to 528 N and 530 1 to 530 N to produce despread components of the pilot signal. By using two ADCs 512, 514 with a half-chip sampling delay and two vector correlators 504, 508, despread components at half-chip intervals are produced such as 21 components for a 10 chip window. Each despread version is weighted by a weight, W11 to W2N, such as by using a weighting device, 544 1 to 544 N and 546 1 to 546 N. The weighted versions are combined, such as by using a summer 528. The combined signal is compared to the complex transmitted value of pilot signal, such as 1+j for a pilot signal in the third generation wireless standard, to produce an error signal, e. The comparison may be performed by a subtractor 550 by subtracting the combined signal from the ideal, 1+j. The error signal, e, is mixed using mixers 532 1 to 532 N and 534 1 to 534 N with each despread version. Each mixed version is amplified and integrated, such as by using an amplifier 536 1 to 536 N and 538 1 to 538 N and an integrator 540 1 to 540 N and 542 1 to 542 N. The amplified and integrated results are refined weights, W11 to W2N, for further weighting of the despread versions. Using the least mean square algorithm, the weights, W11 to W2N, will be selected as to drive the combined signal to its ideal value.

The received signal is also processed by an adaptive filter 510 with the weights, W11 to W2N, determined for the pilot signal components. Since the pilot signal and the traffic signal are transmitted over the same frequency spectrum, the two signals experience the same channel characteristics. As a result, the pilot weights, W11 to W2N, applied to the traffic signal components reduces interference in the received traffic signal. Additionally, if the pilot and channel signals were sent using orthogonal spreading codes, the orthogonality of the received channel signal is restored after weighting. The restored orthogonality substantially reduces correlated interference from other traffic channels that occurs as a result of the deorthogonalization due to channel distortion. The weighted received signal is despread by a traffic despreader 516 using the corresponding traffic code to recover the traffic data.

Although the features and elements of the present invention are described in the preferred embodiments in particular combinations, each feature or element can be used alone (without the other features and elements of the preferred embodiments) or in various combinations with or without other features and elements of the present invention.

Citations de brevets
Brevet cité Date de dépôt Date de publication Déposant Titre
US366226817 nov. 19709 mai 1972Bell Telephone Laboratories Inc.Diversity communication system using distinct spectral arrangements for each branch
US473646010 nov. 19865 avr. 1988Rilling; KennethMultipath reduction system
US490130717 oct. 198613 févr. 1990Qualcomm, Inc.Spread spectrum multiple access communication system using satellite or terrestrial repeaters
US514647519 nov. 19908 sept. 1992Mitsubishi Denki Kabushiki KaishaMaximum-liklihood sequence estimation apparatus
US531967712 mai 19927 juin 1994Hughes Aircraft CompanyDiversity combiner with MLSE for digital cellular radio
US53316668 juin 199219 juil. 1994Ericsson Ge Mobile Communications Inc.Adaptive maximum likelihood demodulator
US53814432 oct. 199210 janv. 1995Motorola Inc.Method and apparatus for frequency hopping a signalling channel in a communication system
US545770421 mai 199310 oct. 1995At&T Ipm Corp.Post processing method and apparatus for symbol reliability generation
US549356326 juil. 199320 févr. 1996Motorola, Inc.Method and apparatus for mobile assisted handoff in a communication system
US562351128 nov. 199422 avr. 1997Lucent Technologies Inc.Spread spectrum code pulse position modulated receiver having delay spread compensation
US565276417 janv. 199629 juil. 1997Kabushiki Kaisha ToshibaRadio communication system
US56732949 août 199630 sept. 1997Kabushiki Kaisha ToshibaAdaptive maximum likelihood sequence estimation apparatus and adaptive maximum likelihood sequence estimation method
US56804192 août 199421 oct. 1997Ericsson Inc.Method of and apparatus for interference rejection combining in multi-antenna digital cellular communications systems
US569438822 juin 19952 déc. 1997Ntt Mobile Communications Network Inc.CDMA demodulator and demodulation method
US575779118 avr. 199626 mai 1998American Wireless Technology, Inc.Multistage linear receiver for DS-CDMA systems
US580902018 mars 199615 sept. 1998Motorola, Inc.Method for adaptively adjusting weighting coefficients in a cDMA radio receiver
US581254218 mars 199622 sept. 1998Motorola, Inc.Method for determining weighting coefficients in a CDMA radio receiver
US582238012 août 199613 oct. 1998Ericsson Inc.Apparatus and method for joint channel estimation
US582270127 févr. 199613 oct. 1998Ntt Mobile Communications Network Inc.High-speed radio communication system
US588698717 juil. 199623 mars 1999Nec CorporationFDD/CDMA transmission/reception system
US59038346 oct. 199511 mai 1999Telefonaktiebolaget L/M EricssonDistributed indoor digital multiple-access cellular telephone system
US595296815 sept. 199714 sept. 1999Rockwell International CorporationMethod and apparatus for reducing jamming by beam forming using navigational data
US598232712 janv. 19989 nov. 1999Motorola, Inc.Adaptive array method, device, base station and subscriber unit
US599133217 févr. 199823 nov. 1999Interdigital Technology CorporationAdaptive matched filter and vector correlator for a code division multiple access (CDMA) modem
US600907424 juil. 199728 déc. 1999Sk Telecom Co., Ltd.CDMA modulation and demodulation method reducing interference and a communication system using the same
US60261309 mai 199715 févr. 2000Advanced Micro Devices, Inc.System and method for estimating a set of parameters for a transmission channel in a communication system
US60441201 mai 199728 mars 2000Lucent Technologies Inc.Time-varying weight estimation
US606732430 juin 199823 mai 2000Motorola, Inc.Method and system for transmitting and demodulating a communications signal using an adaptive antenna array in a wireless communication system
US608156619 avr. 199627 juin 2000Ericsson, Inc.Method and apparatus for interference rejection with different beams, polarizations, and phase references
US610851728 juil. 199722 août 2000Ericsson Inc.Methods and apparatus for joint demodulation of adjacent channel signals in digital communications systems
US61479851 mai 199714 nov. 2000Lucent Technologies Inc.Subspace method for adaptive array weight tracking
US61480417 mai 199814 nov. 2000Ericsson Inc.Joint demodulation using spatial maximum likelihood
US615444311 août 199828 nov. 2000Industrial Technology Research InstituteFFT-based CDMA RAKE receiver system and method
US616080129 déc. 199712 déc. 2000Mitsubishi Denki Kabushiki KaishaMobile communication system
US616120928 mars 199712 déc. 2000Her Majesty The Queen In Right Of Canada, As Represented By The Minister Of Industry Through The Communications Research CentreJoint detector for multiple coded digital signals
US621576222 juil. 199710 avr. 2001Ericsson Inc.Communication system and method with orthogonal block encoding
US633595427 déc. 19961 janv. 2002Ericsson Inc.Method and apparatus for joint synchronization of multiple receive channels
US645974017 sept. 19981 oct. 2002At&T Wireless Services, Inc.Maximum ratio transmission
US647004720 févr. 200122 oct. 2002Comsys Communications Signal Processing Ltd.Apparatus for and method of reducing interference in a communications receiver
US647019216 août 199922 oct. 2002Telefonaktiebolaget Lm Ericcson (Publ)Method of an apparatus for beam reduction and combining in a radio communications system
US648386611 oct. 199419 nov. 2002Ntt Mobile Communications Network Inc.Multi-station transmission method and receiver for inverse transforming two pseudo-orthogonal transmission sequences used for metric calculation and base station selection based thereon
US64842857 févr. 200019 nov. 2002Ericsson, Inc.Tailbiting decoder and method
US650178822 janv. 199931 déc. 2002Ericsson Inc.Apparatus and methods for intereference cancellation in spread spectrum communications systems
US65018036 oct. 199831 déc. 2002At&T Wireless Services, Inc.Low complexity maximum likelihood detecting of concatenated space codes for wireless applications
US655663410 févr. 199929 avr. 2003Ericsson, Inc.Maximum likelihood rake receiver for use in a code division, multiple access wireless communication system
US66470709 sept. 199911 nov. 2003Texas Instruments IncorporatedMethod and apparatus for combating impulse noise in digital communications channels
US669415417 nov. 199717 févr. 2004Ericsson Inc.Method and apparatus for performing beam searching in a radio communication system
US66974416 juin 200024 févr. 2004Ericsson Inc.Baseband processors and methods and systems for decoding a received signal having a transmitter or channel induced coupling between bits
US67317004 janv. 20014 mai 2004Comsys Communication & Signal Processing Ltd.Soft decision output generator
US2001003099325 janv. 200118 oct. 2001Bottomley Gregory W.Method and apparatus for digital symbol detection using medium response estimates
US2002000384620 déc. 200010 janv. 2002Ericsson Inc.Methods and systems for extracting a joint probability from a map decision device and processing a signal using the joint probability information
US200201225104 janv. 20015 sept. 2002Comsys Communication & Signal Pro-Cessing Ltd.Apparatus for and method of converting soft symbol information to soft bit information
US200201501874 déc. 200117 oct. 2002Trellis Ware Technologies, Inc.Method for co-channel interference identication and mitigation
US2002015470412 janv. 200124 oct. 2002Comsys Communication & Signal Processing Ltd.Reduced soft output information packet selection
US2002018143024 avr. 20025 déc. 2002Motorola Mobility LlcSpace-time transmit diversity scheme for time-dispersive propagation media
US2003001346828 mai 200216 janv. 2003Koninklijke Philips Electronics N.V.Radio communication system
US2003005352431 août 200120 mars 2003Ericsson Inc.Interference cancellation in a CDMA receiving system
US2003005892930 sept. 199827 mars 2003Intel CorporationAdaptive wireless communication receiver
US2003009245626 juil. 200115 mai 2003Ericsson Inc.Communication system employing transmit macro-diversity
EP0674455A111 oct. 199427 sept. 1995Ntt Mobile Communications Network Inc.Multistation transmitting method and receiver therefor
EP0715421A214 nov. 19955 juin 1996AT&T Corp.A spread spectrum code pulse position modulated receiver having delay spread compensation
EP0820157A211 juil. 199721 janv. 1998France TelecomMethod for digital differential demodulation
EP0892508A220 janv. 199820 janv. 1999Mitsubishi Denki Kabushiki KaishaMobile communication system with frequency and time slot sharing in TDMA and CDMA signals for quality improvement
WO1994001956A217 juin 199320 janv. 1994Motorola Inc.Dual mode communication network
WO1995034140A110 avr. 199514 déc. 1995Motorola, Inc.Method and apparatus for cancelling interference in signals having undergone multipath
WO1996011533A25 oct. 199518 avr. 1996Honkasalo, ZhichunSignal detection in a tdma system
WO1997013386A230 sept. 199610 avr. 1997Telefonaktiebolaget Lm Ericsson (Publ)Distributed indoor digital multiple-access cellular telephone system
WO1999004537A16 juil. 199828 janv. 1999Ericsson Inc.Determination of the length of a channel impulse response
WO1999012283A128 août 199811 mars 1999Telefonaktiebolaget Lm Ericsson (Publ)A method for demodulating information in a communication system that supports multiple modulation schemes
WO1999052311A130 mars 199914 oct. 1999Telefonaktiebolaget Lm Ericsson (Publ)Method and system for handling radio signals in a radio base station
WO2000035159A19 déc. 199915 juin 2000Algorex, Inc.Delay spread estimation for multipath fading channels
WO2000044141A129 déc. 199927 juil. 2000Ericsson Inc.Mlse using look up tables for multiplication
WO2000048330A14 févr. 200017 août 2000Ericsson Inc.Maximum likelihood rake receiver for use in a code division, multiple access wireless communication system
WO2000069192A15 mai 200016 nov. 2000Morphics Technology Inc.Method of profiling disparate communications and signal processing standards and services
WO2001005088A129 juin 200018 janv. 2001Telefonaktiebolaget Lm Ericsson (Publ)Controlled antenna diversity
WO2001028174A116 oct. 200019 avr. 2001Ophir, LiorReduced state sequence estimation signal detection method
WO2001045289A126 oct. 200021 juin 2001Ericsson IncSelective joint demodulation systems and methods for receiving a signal in the presence of noise and interference
WO2002009297A215 juil. 200131 janv. 2002Cohen, RonEstimation of channel and of channel order
WO2002023787A210 sept. 200121 mars 2002Ericsson, Inc.Method and apparatus for soft information generation in joint demodulation of co-channel signals
WO2002065719A116 janv. 200222 août 2002Ericsson, Inc.Estimation and compensation of the impulse response of the pulse-shaping filter in a wireless terminal
WO2002067444A112 févr. 200229 août 2002Bachar, YuvalApparatus for and method of reducing interference in a communications receiver
WO2002084892A19 avr. 200224 oct. 2002Dent, Paul, W.Methods and systems for reducing interference using co-channel interference mapping
WO2003003604A120 juin 20029 janv. 2003Koninklijke Philips Electronics N.V.Radio communication system
WO2003010899A110 juil. 20026 févr. 2003Ericsson Inc.Communication system employing transmit diversity
WO2004012341A114 mai 20035 févr. 2004Bae Systems Information And Electronic Systems Integration IncPower and confidence ordered low complexity soft turbomud with voting system
Citations hors brevets
Référence
1Foerster et al., "Coding for a Coherent DS-CDMA Systems Employing an MMSE Receiver in a Rayleigh Fading Channel," IEEE Transactions on Communications, vol. 48, No. 6, Jun. 2000, pp. 1012-1021.
2Latva-aho et al., "LMMSE Detection for DS-CDMA Systems in Fading Channels," IEEE Transactions on Communications, vol. 48, No. 2, Feb. 2000, 194-199.
3Majmundar et al., "Adaptive Single-User Receivers for Direct-Sequence Spread-Spectrum CDMA Systems," IEEE Transactions on Vehicular Technology, vol. 49, No. 2, Mar. 2000, pp. 379-389.
4Pahlavan et al., "Performance of Adaptive Matched Filter Receivers Over Fading Multipath Channels," IEEE Transactions on Communications, vol. 38, No. 12, Dec. 1990, pp. 2106-2113.
Référencé par
Brevet citant Date de dépôt Date de publication Déposant Titre
US800977229 nov. 200630 août 2011Sandia CorporationConcurrent signal combining and channel estimation in digital communications
US2004020410318 mars 200214 oct. 2004Siemens AktiengesellschaftAdaptive beamforming in a wireless communication system